PredictKDE: Predict data with the KDE classifier
In kharchenkolab/dropestr: Preprocessing of Droplet-Based Single-Cell RNA-Seq Data
Description
Usage
Arguments
Value
View source: R/kde_classifier.R
Description
Predict data with the KDE classifier
Usage
1
PredictKDE(clf, x, bandwidth.mult = 1)
Arguments
clf
trained classifier
x
data for classification
bandwidth.mult
numeric Multiplier for KDE bandwidth (default=1)
Value
Class probabilities
kharchenkolab/dropestr documentation built on Sept. 18, 2020, 2:14 a.m.
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Description Usage Arguments Value
View source: R/kde_classifier.R
Description
Predict data with the KDE classifier
Usage
1 | PredictKDE(clf, x, bandwidth.mult = 1)
|
Arguments
clf |
trained classifier |
x |
data for classification |
bandwidth.mult |
numeric Multiplier for KDE bandwidth (default=1) |
Value
Class probabilities
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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